Overview

Brought to you by YData

Dataset statistics

Number of variables19
Number of observations10
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory160.0 B

Variable types

TimeSeries17
Numeric2

Timeseries statistics

Number of series17
Time series length10
Starting point1746613860000
Ending point1746614400000
Period60000
2025-05-17T12:30:43.988044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:44.046672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

close is highly overall correlated with high and 17 other fieldsHigh correlation
high is highly overall correlated with close and 17 other fieldsHigh correlation
low is highly overall correlated with close and 17 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 16 other fieldsHigh correlation
macdhist_7 is highly overall correlated with close and 16 other fieldsHigh correlation
macdsignal_7 is highly overall correlated with close and 16 other fieldsHigh correlation
obv_7 is highly overall correlated with close and 16 other fieldsHigh correlation
open is highly overall correlated with close and 17 other fieldsHigh correlation
rsi_14 is highly overall correlated with close and 17 other fieldsHigh correlation
rsi_21 is highly overall correlated with close and 17 other fieldsHigh correlation
rsi_60 is highly overall correlated with close and 16 other fieldsHigh correlation
rsi_7 is highly overall correlated with close and 16 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 16 other fieldsHigh correlation
sma_21 is highly overall correlated with close and 16 other fieldsHigh correlation
sma_60 is highly overall correlated with close and 16 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 5 other fieldsHigh correlation
target is highly overall correlated with close and 16 other fieldsHigh correlation
volume is highly overall correlated with close and 16 other fieldsHigh correlation
window_start_ms is highly overall correlated with close and 16 other fieldsHigh correlation
window_start_ms is non stationary Non stationary
low is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
sma_60 is non stationary Non stationary
rsi_21 is non stationary Non stationary
rsi_60 is non stationary Non stationary
macd_7 is non stationary Non stationary
macdsignal_7 is non stationary Non stationary
macdhist_7 is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_start_ms has unique values Unique
volume has unique values Unique
sma_7 has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv_7 has unique values Unique

Reproduction

Analysis started2025-05-17 10:30:36.508237
Analysis finished2025-05-17 10:30:43.964032
Duration7.46 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7466141 × 1012
Minimum1.7466139 × 1012
Maximum1.7466144 × 1012
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:44.098473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7466139 × 1012
5-th percentile1.7466139 × 1012
Q11.746614 × 1012
median1.7466141 × 1012
Q31.7466143 × 1012
95-th percentile1.7466144 × 1012
Maximum1.7466144 × 1012
Range540000
Interquartile range (IQR)270000

Descriptive statistics

Standard deviation181659.02
Coefficient of variation (CV)1.0400638 × 10-7
Kurtosis-1.2
Mean1.7466141 × 1012
Median Absolute Deviation (MAD)150000
Skewness0
Sum1.7466141 × 1013
Variance3.3 × 1010
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585321277
2025-05-17T12:30:44.121951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:44.300643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:44.315279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.74661386 × 10121
10.0%
1.74661392 × 10121
10.0%
1.74661398 × 10121
10.0%
1.74661404 × 10121
10.0%
1.7466141 × 10121
10.0%
1.74661416 × 10121
10.0%
1.74661422 × 10121
10.0%
1.74661428 × 10121
10.0%
1.74661434 × 10121
10.0%
1.7466144 × 10121
10.0%
ValueCountFrequency (%)
1.74661386 × 10121
10.0%
1.74661392 × 10121
10.0%
1.74661398 × 10121
10.0%
1.74661404 × 10121
10.0%
1.7466141 × 10121
10.0%
1.74661416 × 10121
10.0%
1.74661422 × 10121
10.0%
1.74661428 × 10121
10.0%
1.74661434 × 10121
10.0%
1.7466144 × 10121
10.0%
ValueCountFrequency (%)
1.7466144 × 10121
10.0%
1.74661434 × 10121
10.0%
1.74661428 × 10121
10.0%
1.74661422 × 10121
10.0%
1.74661416 × 10121
10.0%
1.7466141 × 10121
10.0%
1.74661404 × 10121
10.0%
1.74661398 × 10121
10.0%
1.74661392 × 10121
10.0%
1.74661386 × 10121
10.0%
2025-05-17T12:30:44.139750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

open
Numeric time series

High correlation 

Distinct7
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96893.38
Minimum96880
Maximum96939.8
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:44.344418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96880
5-th percentile96880.045
Q196880.1
median96881.6
Q396898.725
95-th percentile96932.42
Maximum96939.8
Range59.8
Interquartile range (IQR)18.625

Descriptive statistics

Standard deviation21.75739
Coefficient of variation (CV)0.0002245498
Kurtosis1.1596249
Mean96893.38
Median Absolute Deviation (MAD)1.55
Skewness1.5418615
Sum968933.8
Variance473.384
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.577945947 × 10-11
2025-05-17T12:30:44.399984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
2025-05-17T12:30:44.460085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:44.474060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96880.1 4
40.0%
96880 1
 
10.0%
96883.1 1
 
10.0%
96883.2 1
 
10.0%
96903.9 1
 
10.0%
96923.4 1
 
10.0%
96939.8 1
 
10.0%
ValueCountFrequency (%)
96880 1
 
10.0%
96880.1 4
40.0%
96883.1 1
 
10.0%
96883.2 1
 
10.0%
96903.9 1
 
10.0%
96923.4 1
 
10.0%
96939.8 1
 
10.0%
ValueCountFrequency (%)
96939.8 1
 
10.0%
96923.4 1
 
10.0%
96903.9 1
 
10.0%
96883.2 1
 
10.0%
96883.1 1
 
10.0%
96880.1 4
40.0%
96880 1
 
10.0%
2025-05-17T12:30:44.415101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation 

Distinct5
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96899.37
Minimum96880.1
Maximum96939.8
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:44.500048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96880.1
5-th percentile96880.1
Q196880.1
median96883.2
Q396918.525
95-th percentile96939.8
Maximum96939.8
Range59.7
Interquartile range (IQR)38.425

Descriptive statistics

Standard deviation25.550388
Coefficient of variation (CV)0.00026367961
Kurtosis-1.0791886
Mean96899.37
Median Absolute Deviation (MAD)3.1
Skewness0.90814053
Sum968993.7
Variance652.82233
MonotonicityIncreasing
Augmented Dickey-Fuller test p-value0.002548912136
2025-05-17T12:30:44.524724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
2025-05-17T12:30:44.588594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:44.603384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96880.1 4
40.0%
96883.2 2
20.0%
96939.8 2
20.0%
96903.9 1
 
10.0%
96923.4 1
 
10.0%
ValueCountFrequency (%)
96880.1 4
40.0%
96883.2 2
20.0%
96903.9 1
 
10.0%
96923.4 1
 
10.0%
96939.8 2
20.0%
ValueCountFrequency (%)
96939.8 2
20.0%
96923.4 1
 
10.0%
96903.9 1
 
10.0%
96883.2 2
20.0%
96880.1 4
40.0%
2025-05-17T12:30:44.541488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct8
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96893.18
Minimum96878.5
Maximum96939.7
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:44.628001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96878.5
5-th percentile96879.175
Q196880
median96881.6
Q396898.725
95-th percentile96932.32
Maximum96939.7
Range61.2
Interquartile range (IQR)18.725

Descriptive statistics

Standard deviation21.845864
Coefficient of variation (CV)0.00022546338
Kurtosis1.1286672
Mean96893.18
Median Absolute Deviation (MAD)1.6
Skewness1.5312429
Sum968931.8
Variance477.24178
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9989875443
2025-05-17T12:30:44.650278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2025-05-17T12:30:44.708560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:44.722686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96880 3
30.0%
96878.5 1
 
10.0%
96880.1 1
 
10.0%
96883.1 1
 
10.0%
96883.2 1
 
10.0%
96903.9 1
 
10.0%
96923.3 1
 
10.0%
96939.7 1
 
10.0%
ValueCountFrequency (%)
96878.5 1
 
10.0%
96880 3
30.0%
96880.1 1
 
10.0%
96883.1 1
 
10.0%
96883.2 1
 
10.0%
96903.9 1
 
10.0%
96923.3 1
 
10.0%
96939.7 1
 
10.0%
ValueCountFrequency (%)
96939.7 1
 
10.0%
96923.3 1
 
10.0%
96903.9 1
 
10.0%
96883.2 1
 
10.0%
96883.1 1
 
10.0%
96880.1 1
 
10.0%
96880 3
30.0%
96878.5 1
 
10.0%
2025-05-17T12:30:44.664541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation 

Distinct6
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96899.33
Minimum96880
Maximum96939.7
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:44.747335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96880
5-th percentile96880.045
Q196880.1
median96883.2
Q396918.45
95-th percentile96939.7
Maximum96939.7
Range59.7
Interquartile range (IQR)38.35

Descriptive statistics

Standard deviation25.51318
Coefficient of variation (CV)0.00026329573
Kurtosis-1.0797033
Mean96899.33
Median Absolute Deviation (MAD)3.15
Skewness0.90743772
Sum968993.3
Variance650.92233
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value8.583898132 × 10-5
2025-05-17T12:30:44.769128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
2025-05-17T12:30:44.827176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:44.840966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96880.1 3
30.0%
96883.2 2
20.0%
96939.7 2
20.0%
96880 1
 
10.0%
96903.9 1
 
10.0%
96923.3 1
 
10.0%
ValueCountFrequency (%)
96880 1
 
10.0%
96880.1 3
30.0%
96883.2 2
20.0%
96903.9 1
 
10.0%
96923.3 1
 
10.0%
96939.7 2
20.0%
ValueCountFrequency (%)
96939.7 2
20.0%
96923.3 1
 
10.0%
96903.9 1
 
10.0%
96883.2 2
20.0%
96880.1 3
30.0%
96880 1
 
10.0%
2025-05-17T12:30:44.783628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

target
Numeric time series

High correlation 

Distinct8
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96945.81
Minimum96883.2
Maximum97000
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:44.866386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96883.2
5-th percentile96892.515
Q196927.4
median96939.7
Q396973.025
95-th percentile96999.955
Maximum97000
Range116.8
Interquartile range (IQR)45.625

Descriptive statistics

Standard deviation38.65366
Coefficient of variation (CV)0.00039871409
Kurtosis-0.66758762
Mean96945.81
Median Absolute Deviation (MAD)26.1
Skewness0.078113558
Sum969458.1
Variance1494.1054
MonotonicityIncreasing
Augmented Dickey-Fuller test p-value0.003576852088
2025-05-17T12:30:44.887675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2025-05-17T12:30:44.946566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:44.959666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96939.7 3
30.0%
96883.2 1
 
10.0%
96903.9 1
 
10.0%
96923.3 1
 
10.0%
96947 1
 
10.0%
96981.7 1
 
10.0%
96999.9 1
 
10.0%
97000 1
 
10.0%
ValueCountFrequency (%)
96883.2 1
 
10.0%
96903.9 1
 
10.0%
96923.3 1
 
10.0%
96939.7 3
30.0%
96947 1
 
10.0%
96981.7 1
 
10.0%
96999.9 1
 
10.0%
97000 1
 
10.0%
ValueCountFrequency (%)
97000 1
 
10.0%
96999.9 1
 
10.0%
96981.7 1
 
10.0%
96947 1
 
10.0%
96939.7 3
30.0%
96923.3 1
 
10.0%
96903.9 1
 
10.0%
96883.2 1
 
10.0%
2025-05-17T12:30:44.903584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.098294804
Minimum0.00783549
Maximum0.37573108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size160.0 B
2025-05-17T12:30:44.981452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00783549
5-th percentile0.0081325125
Q10.028950188
median0.068569965
Q30.10971722
95-th percentile0.28795351
Maximum0.37573108
Range0.36789559
Interquartile range (IQR)0.080767033

Descriptive statistics

Standard deviation0.11123781
Coefficient of variation (CV)1.1316754
Kurtosis4.4234886
Mean0.098294804
Median Absolute Deviation (MAD)0.04675448
Skewness1.9950537
Sum0.98294804
Variance0.01237385
MonotonicityNot monotonic
2025-05-17T12:30:45.000427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.08741036 1
10.0%
0.18066981 1
10.0%
0.37573108 1
10.0%
0.04995502 1
10.0%
0.11715284 1
10.0%
0.00849554 1
10.0%
0.08718491 1
10.0%
0.04486911 1
10.0%
0.02364388 1
10.0%
0.00783549 1
10.0%
ValueCountFrequency (%)
0.00783549 1
10.0%
0.00849554 1
10.0%
0.02364388 1
10.0%
0.04486911 1
10.0%
0.04995502 1
10.0%
0.08718491 1
10.0%
0.08741036 1
10.0%
0.11715284 1
10.0%
0.18066981 1
10.0%
0.37573108 1
10.0%
ValueCountFrequency (%)
0.37573108 1
10.0%
0.18066981 1
10.0%
0.11715284 1
10.0%
0.08741036 1
10.0%
0.08718491 1
10.0%
0.04995502 1
10.0%
0.04486911 1
10.0%
0.02364388 1
10.0%
0.00849554 1
10.0%
0.00783549 1
10.0%

sma_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96888.921
Minimum96880.114
Maximum96907.571
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.022685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96880.114
5-th percentile96880.307
Q196881.618
median96886.336
Q396893.254
95-th percentile96903.74
Maximum96907.571
Range27.457143
Interquartile range (IQR)11.635714

Descriptive statistics

Standard deviation9.0749918
Coefficient of variation (CV)9.3663875 × 10-5
Kurtosis0.43906994
Mean96888.921
Median Absolute Deviation (MAD)5.5857143
Skewness1.0507763
Sum968889.21
Variance82.355476
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9149475176
2025-05-17T12:30:45.044462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:45.103187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:45.117294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96894.15714 1
10.0%
96888.3 1
10.0%
96883.6 1
10.0%
96880.11429 1
10.0%
96880.54286 1
10.0%
96880.95714 1
10.0%
96884.37143 1
10.0%
96890.54286 1
10.0%
96899.05714 1
10.0%
96907.57143 1
10.0%
ValueCountFrequency (%)
96880.11429 1
10.0%
96880.54286 1
10.0%
96880.95714 1
10.0%
96883.6 1
10.0%
96884.37143 1
10.0%
96888.3 1
10.0%
96890.54286 1
10.0%
96894.15714 1
10.0%
96899.05714 1
10.0%
96907.57143 1
10.0%
ValueCountFrequency (%)
96907.57143 1
10.0%
96899.05714 1
10.0%
96894.15714 1
10.0%
96890.54286 1
10.0%
96888.3 1
10.0%
96884.37143 1
10.0%
96883.6 1
10.0%
96880.95714 1
10.0%
96880.54286 1
10.0%
96880.11429 1
10.0%
2025-05-17T12:30:45.059183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96897.539
Minimum96892.193
Maximum96907.364
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.143159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96892.193
5-th percentile96892.264
Q196893.48
median96895.825
Q396900.868
95-th percentile96906.05
Maximum96907.364
Range15.171429
Interquartile range (IQR)7.3875

Descriptive statistics

Standard deviation5.326766
Coefficient of variation (CV)5.4973181 × 10-5
Kurtosis-0.56229917
Mean96897.539
Median Absolute Deviation (MAD)3.1821429
Skewness0.84020915
Sum968975.39
Variance28.374436
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0846827547
2025-05-17T12:30:45.165998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:45.226971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:45.242102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96907.36429 1
10.0%
96904.44286 1
10.0%
96901.58571 1
10.0%
96898.71429 1
10.0%
96896.06429 1
10.0%
96893.41429 1
10.0%
96892.19286 1
10.0%
96892.35 1
10.0%
96893.67857 1
10.0%
96895.58571 1
10.0%
ValueCountFrequency (%)
96892.19286 1
10.0%
96892.35 1
10.0%
96893.41429 1
10.0%
96893.67857 1
10.0%
96895.58571 1
10.0%
96896.06429 1
10.0%
96898.71429 1
10.0%
96901.58571 1
10.0%
96904.44286 1
10.0%
96907.36429 1
10.0%
ValueCountFrequency (%)
96907.36429 1
10.0%
96904.44286 1
10.0%
96901.58571 1
10.0%
96898.71429 1
10.0%
96896.06429 1
10.0%
96895.58571 1
10.0%
96893.67857 1
10.0%
96893.41429 1
10.0%
96892.35 1
10.0%
96892.19286 1
10.0%
2025-05-17T12:30:45.181785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96905.378
Minimum96901.648
Maximum96912.31
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.266555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96901.648
5-th percentile96901.697
Q196902.508
median96904.014
Q396907.808
95-th percentile96911.41
Maximum96912.31
Range10.661905
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation3.7844506
Coefficient of variation (CV)3.905305 × 10-5
Kurtosis-0.63694238
Mean96905.378
Median Absolute Deviation (MAD)2.2738095
Skewness0.84038584
Sum969053.78
Variance14.322066
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.116997354
2025-05-17T12:30:45.287220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:45.344508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:45.357736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96912.30952 1
10.0%
96910.30952 1
10.0%
96908.30952 1
10.0%
96906.30476 1
10.0%
96904.44762 1
10.0%
96902.4619 1
10.0%
96901.64762 1
10.0%
96901.75714 1
10.0%
96902.64762 1
10.0%
96903.58095 1
10.0%
ValueCountFrequency (%)
96901.64762 1
10.0%
96901.75714 1
10.0%
96902.4619 1
10.0%
96902.64762 1
10.0%
96903.58095 1
10.0%
96904.44762 1
10.0%
96906.30476 1
10.0%
96908.30952 1
10.0%
96910.30952 1
10.0%
96912.30952 1
10.0%
ValueCountFrequency (%)
96912.30952 1
10.0%
96910.30952 1
10.0%
96908.30952 1
10.0%
96906.30476 1
10.0%
96904.44762 1
10.0%
96903.58095 1
10.0%
96902.64762 1
10.0%
96902.4619 1
10.0%
96901.75714 1
10.0%
96901.64762 1
10.0%
2025-05-17T12:30:45.301607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96932.556
Minimum96931.712
Maximum96935.07
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.381680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96931.712
5-th percentile96931.712
Q196931.769
median96931.954
Q396932.91
95-th percentile96934.625
Maximum96935.07
Range3.3583333
Interquartile range (IQR)1.14125

Descriptive statistics

Standard deviation1.1664151
Coefficient of variation (CV)1.2033265 × 10-5
Kurtosis1.2471571
Mean96932.556
Median Absolute Deviation (MAD)0.24166667
Skewness1.4944545
Sum969325.56
Variance1.3605242
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9938476916
2025-05-17T12:30:45.403549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:45.462625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:45.476471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
96931.73167 1
10.0%
96931.71167 1
10.0%
96931.71333 1
10.0%
96931.88167 1
10.0%
96931.93 1
10.0%
96931.97833 1
10.0%
96932.37167 1
10.0%
96933.09 1
10.0%
96934.08 1
10.0%
96935.07 1
10.0%
ValueCountFrequency (%)
96931.71167 1
10.0%
96931.71333 1
10.0%
96931.73167 1
10.0%
96931.88167 1
10.0%
96931.93 1
10.0%
96931.97833 1
10.0%
96932.37167 1
10.0%
96933.09 1
10.0%
96934.08 1
10.0%
96935.07 1
10.0%
ValueCountFrequency (%)
96935.07 1
10.0%
96934.08 1
10.0%
96933.09 1
10.0%
96932.37167 1
10.0%
96931.97833 1
10.0%
96931.93 1
10.0%
96931.88167 1
10.0%
96931.73167 1
10.0%
96931.71333 1
10.0%
96931.71167 1
10.0%
2025-05-17T12:30:45.419458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation 

Distinct8
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.005631
Minimum0.48309179
Maximum99.832776
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.498065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.48309179
5-th percentile0.48309179
Q10.65206335
median89.331437
Q399.723455
95-th percentile99.832776
Maximum99.832776
Range99.349684
Interquartile range (IQR)99.071391

Descriptive statistics

Standard deviation49.57544
Coefficient of variation (CV)0.85466599
Kurtosis-2.2602526
Mean58.005631
Median Absolute Deviation (MAD)10.501339
Skewness-0.46098522
Sum580.05631
Variance2457.7243
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0
2025-05-17T12:30:45.518882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2025-05-17T12:30:45.576437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:45.590175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.4830917875 2
20.0%
99.83277592 2
20.0%
0.6006006006 1
10.0%
0.8064516129 1
10.0%
89.47368421 1
10.0%
89.18918919 1
10.0%
99.58506224 1
10.0%
99.76958525 1
10.0%
ValueCountFrequency (%)
0.4830917875 2
20.0%
0.6006006006 1
10.0%
0.8064516129 1
10.0%
89.18918919 1
10.0%
89.47368421 1
10.0%
99.58506224 1
10.0%
99.76958525 1
10.0%
99.83277592 2
20.0%
ValueCountFrequency (%)
99.83277592 2
20.0%
99.76958525 1
10.0%
99.58506224 1
10.0%
89.47368421 1
10.0%
89.18918919 1
10.0%
0.8064516129 1
10.0%
0.6006006006 1
10.0%
0.4830917875 2
20.0%
2025-05-17T12:30:45.533287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation 

Distinct8
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.120167
Minimum2.5943396
Maximum64.33942
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.613746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.5943396
5-th percentile2.674
Q12.7860691
median9.2307692
Q347.709519
95-th percentile62.022056
Maximum64.33942
Range61.74508
Interquartile range (IQR)44.923449

Descriptive statistics

Standard deviation25.867448
Coefficient of variation (CV)1.0724407
Kurtosis-1.5920688
Mean24.120167
Median Absolute Deviation (MAD)6.5479181
Skewness0.67954356
Sum241.20167
Variance669.12486
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.089983358 × 10-8
2025-05-17T12:30:45.743305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2025-05-17T12:30:45.802368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:45.816308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2.771362587 2
20.0%
9.230769231 2
20.0%
2.830188679 1
10.0%
2.594339623 1
10.0%
36.94656489 1
10.0%
51.29716981 1
10.0%
59.18972332 1
10.0%
64.33941998 1
10.0%
ValueCountFrequency (%)
2.594339623 1
10.0%
2.771362587 2
20.0%
2.830188679 1
10.0%
9.230769231 2
20.0%
36.94656489 1
10.0%
51.29716981 1
10.0%
59.18972332 1
10.0%
64.33941998 1
10.0%
ValueCountFrequency (%)
64.33941998 1
10.0%
59.18972332 1
10.0%
51.29716981 1
10.0%
36.94656489 1
10.0%
9.230769231 2
20.0%
2.830188679 1
10.0%
2.771362587 2
20.0%
2.594339623 1
10.0%
2025-05-17T12:30:45.758300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation  Non stationary 

Distinct9
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.652812
Minimum7.9840319
Maximum59.589041
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.840619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.9840319
5-th percentile7.9912176
Q18.1782178
median18.275603
Q347.818732
95-th percentile59.354962
Maximum59.589041
Range51.605009
Interquartile range (IQR)39.640515

Descriptive statistics

Standard deviation22.117948
Coefficient of variation (CV)0.79984445
Kurtosis-1.6434241
Mean27.652812
Median Absolute Deviation (MAD)10.283587
Skewness0.57945461
Sum276.52812
Variance489.20363
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9528473815
2025-05-17T12:30:45.861143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
2025-05-17T12:30:45.920165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:45.932770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
8 2
20.0%
23.20534224 1
10.0%
7.984031936 1
10.0%
13.34586466 1
10.0%
8.712871287 1
10.0%
37.29569094 1
10.0%
51.32641292 1
10.0%
59.06886518 1
10.0%
59.5890411 1
10.0%
ValueCountFrequency (%)
7.984031936 1
10.0%
8 2
20.0%
8.712871287 1
10.0%
13.34586466 1
10.0%
23.20534224 1
10.0%
37.29569094 1
10.0%
51.32641292 1
10.0%
59.06886518 1
10.0%
59.5890411 1
10.0%
ValueCountFrequency (%)
59.5890411 1
10.0%
59.06886518 1
10.0%
51.32641292 1
10.0%
37.29569094 1
10.0%
23.20534224 1
10.0%
13.34586466 1
10.0%
8.712871287 1
10.0%
8 2
20.0%
7.984031936 1
10.0%
2025-05-17T12:30:45.876447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary 

Distinct7
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.110586
Minimum49.796334
Maximum58.935018
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:45.955852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum49.796334
5-th percentile49.796334
Q150.144079
median51.153867
Q356.107032
95-th percentile58.935018
Maximum58.935018
Range9.138684
Interquartile range (IQR)5.9629539

Descriptive statistics

Standard deviation3.7860612
Coefficient of variation (CV)0.071286376
Kurtosis-1.2414321
Mean53.110586
Median Absolute Deviation (MAD)1.3575333
Skewness0.78679952
Sum531.10586
Variance14.33426
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9706837178
2025-05-17T12:30:45.974055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
2025-05-17T12:30:46.031049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:46.043682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
49.79633401 2
20.0%
50.52517204 2
20.0%
58.93501805 2
20.0%
50.01704739 1
10.0%
51.78256265 1
10.0%
53.97574124 1
10.0%
56.81746283 1
10.0%
ValueCountFrequency (%)
49.79633401 2
20.0%
50.01704739 1
10.0%
50.52517204 2
20.0%
51.78256265 1
10.0%
53.97574124 1
10.0%
56.81746283 1
10.0%
58.93501805 2
20.0%
ValueCountFrequency (%)
58.93501805 2
20.0%
56.81746283 1
10.0%
53.97574124 1
10.0%
51.78256265 1
10.0%
50.52517204 2
20.0%
50.01704739 1
10.0%
49.79633401 2
20.0%
2025-05-17T12:30:45.988321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.8610487
Minimum-11.432688
Maximum8.5155135
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:46.066350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-11.432688
5-th percentile-11.310577
Q1-10.374604
median-8.0299392
Q3-0.63378847
95-th percentile7.1405147
Maximum8.5155135
Range19.948201
Interquartile range (IQR)9.7408159

Descriptive statistics

Standard deviation7.2680113
Coefficient of variation (CV)-1.4951529
Kurtosis-0.46499536
Mean-4.8610487
Median Absolute Deviation (MAD)3.26707
Skewness0.99137451
Sum-48.610487
Variance52.823988
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value1
2025-05-17T12:30:46.087925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:46.146866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:46.161132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-11.4326876 1
10.0%
-11.16133084 1
10.0%
-10.57121436 1
10.0%
-9.784774258 1
10.0%
-8.578721208 1
10.0%
-7.481157234 1
10.0%
-4.096536272 1
10.0%
0.5204607977 1
10.0%
5.459960606 1
10.0%
8.515513463 1
10.0%
ValueCountFrequency (%)
-11.4326876 1
10.0%
-11.16133084 1
10.0%
-10.57121436 1
10.0%
-9.784774258 1
10.0%
-8.578721208 1
10.0%
-7.481157234 1
10.0%
-4.096536272 1
10.0%
0.5204607977 1
10.0%
5.459960606 1
10.0%
8.515513463 1
10.0%
ValueCountFrequency (%)
8.515513463 1
10.0%
5.459960606 1
10.0%
0.5204607977 1
10.0%
-4.096536272 1
10.0%
-7.481157234 1
10.0%
-8.578721208 1
10.0%
-9.784774258 1
10.0%
-10.57121436 1
10.0%
-11.16133084 1
10.0%
-11.4326876 1
10.0%
2025-05-17T12:30:46.102798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.193535
Minimum-8.8551502
Maximum-2.6352972
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:46.184493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-8.8551502
5-th percentile-8.8103971
Q1-8.2625735
median-6.2476621
Q3-4.6669828
95-th percentile-3.0722477
Maximum-2.6352972
Range6.2198531
Interquartile range (IQR)3.5955907

Descriptive statistics

Standard deviation2.2187913
Coefficient of variation (CV)-0.35824313
Kurtosis-1.2720661
Mean-6.193535
Median Absolute Deviation (MAD)2.0159477
Skewness0.22587672
Sum-61.93535
Variance4.923035
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9975141693
2025-05-17T12:30:46.206457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:46.265567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:46.279423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-8.85515024 1
10.0%
-8.755698735 1
10.0%
-8.548608698 1
10.0%
-7.404467978 1
10.0%
-6.645179228 1
10.0%
-5.850145047 1
10.0%
-5.117790941 1
10.0%
-4.516713391 1
10.0%
-3.606298267 1
10.0%
-2.63529717 1
10.0%
ValueCountFrequency (%)
-8.85515024 1
10.0%
-8.755698735 1
10.0%
-8.548608698 1
10.0%
-7.404467978 1
10.0%
-6.645179228 1
10.0%
-5.850145047 1
10.0%
-5.117790941 1
10.0%
-4.516713391 1
10.0%
-3.606298267 1
10.0%
-2.63529717 1
10.0%
ValueCountFrequency (%)
-2.63529717 1
10.0%
-3.606298267 1
10.0%
-4.516713391 1
10.0%
-5.117790941 1
10.0%
-5.850145047 1
10.0%
-6.645179228 1
10.0%
-7.404467978 1
10.0%
-8.548608698 1
10.0%
-8.755698735 1
10.0%
-8.85515024 1
10.0%
2025-05-17T12:30:46.221772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3324863
Minimum-2.5775374
Maximum11.150811
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-17T12:30:46.302345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.5775374
5-th percentile-2.50018
Q1-2.2908811
median-1.7822771
Q34.0331943
95-th percentile10.212762
Maximum11.150811
Range13.728348
Interquartile range (IQR)6.3240754

Descriptive statistics

Standard deviation5.2045371
Coefficient of variation (CV)3.9058842
Kurtosis-0.17620605
Mean1.3324863
Median Absolute Deviation (MAD)0.70930765
Skewness1.1802994
Sum13.324863
Variance27.087206
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5665107231
2025-05-17T12:30:46.323552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-17T12:30:46.382239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-17T12:30:46.395467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-2.577537358 1
10.0%
-2.405632108 1
10.0%
-2.02260566 1
10.0%
-2.380306281 1
10.0%
-1.933541979 1
10.0%
-1.631012187 1
10.0%
1.021254668 1
10.0%
5.037174189 1
10.0%
9.066258873 1
10.0%
11.15081063 1
10.0%
ValueCountFrequency (%)
-2.577537358 1
10.0%
-2.405632108 1
10.0%
-2.380306281 1
10.0%
-2.02260566 1
10.0%
-1.933541979 1
10.0%
-1.631012187 1
10.0%
1.021254668 1
10.0%
5.037174189 1
10.0%
9.066258873 1
10.0%
11.15081063 1
10.0%
ValueCountFrequency (%)
11.15081063 1
10.0%
9.066258873 1
10.0%
5.037174189 1
10.0%
1.021254668 1
10.0%
-1.631012187 1
10.0%
-1.933541979 1
10.0%
-2.02260566 1
10.0%
-2.380306281 1
10.0%
-2.405632108 1
10.0%
-2.577537358 1
10.0%
2025-05-17T12:30:46.338173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv_7
Real number (ℝ)

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.098294804
Minimum0.00783549
Maximum0.37573108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size160.0 B
2025-05-17T12:30:46.415534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00783549
5-th percentile0.0081325125
Q10.028950188
median0.068569965
Q30.10971722
95-th percentile0.28795351
Maximum0.37573108
Range0.36789559
Interquartile range (IQR)0.080767033

Descriptive statistics

Standard deviation0.11123781
Coefficient of variation (CV)1.1316754
Kurtosis4.4234886
Mean0.098294804
Median Absolute Deviation (MAD)0.04675448
Skewness1.9950537
Sum0.98294804
Variance0.01237385
MonotonicityNot monotonic
2025-05-17T12:30:46.433976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.08741036 1
10.0%
0.18066981 1
10.0%
0.37573108 1
10.0%
0.04995502 1
10.0%
0.11715284 1
10.0%
0.00849554 1
10.0%
0.08718491 1
10.0%
0.04486911 1
10.0%
0.02364388 1
10.0%
0.00783549 1
10.0%
ValueCountFrequency (%)
0.00783549 1
10.0%
0.00849554 1
10.0%
0.02364388 1
10.0%
0.04486911 1
10.0%
0.04995502 1
10.0%
0.08718491 1
10.0%
0.08741036 1
10.0%
0.11715284 1
10.0%
0.18066981 1
10.0%
0.37573108 1
10.0%
ValueCountFrequency (%)
0.37573108 1
10.0%
0.18066981 1
10.0%
0.11715284 1
10.0%
0.08741036 1
10.0%
0.08718491 1
10.0%
0.04995502 1
10.0%
0.04486911 1
10.0%
0.02364388 1
10.0%
0.00849554 1
10.0%
0.00783549 1
10.0%

Interactions

2025-05-17T12:30:43.515926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:36.644851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.152291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.494171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.836672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.277698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.637129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.013150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.378341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.821592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.225015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.562484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.940116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.393825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.730640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.056164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.372097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.836578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.178642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.535109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:36.682585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.171372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.512939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.855700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.297273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.657788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.033629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.397283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.841891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.242855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.583262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.958779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.411925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.748408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.074596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.391630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.854853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.196953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.554377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:36.726859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.188866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.531738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.872914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.314983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.678390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.055086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.415321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.860616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.260814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.602907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.978389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.430152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.766525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.090552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.409293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.873766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.215189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.573150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:36.752334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.206036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.548740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.890113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.333632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.697779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.075260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.433592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.879599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.279291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.622379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.996579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.447733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.783746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.106973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.428255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.891797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.232405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.592242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:36.782413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.223698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.566950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.907642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.350799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.718333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.096257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.451625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.898962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.297479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.642225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.016550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.465332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.800728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.124539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.447647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.909906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.251151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.610707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:36.802689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.240774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.584399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.925877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.369105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.737203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.115241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.470161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.918896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.316118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.662275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.035741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.483448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.818640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.140940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-17T12:30:42.021922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-17T12:30:42.799005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.142446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.481335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.858935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.132392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.474441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:37.819410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.259932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.616869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:38.991555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.359798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:39.803133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.204989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.543253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:40.919672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.375581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:41.710930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.038711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.354985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:42.817118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.159576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-17T12:30:43.498204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-17T12:30:46.457487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closehighlowmacd_7macdhist_7macdsignal_7obv_7openrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_start_ms
close1.0000.9810.9440.9080.9320.908-0.6480.9010.9880.9230.8040.913-0.698-0.6980.9080.6360.863-0.6480.908
high0.9811.0000.9750.9630.9630.963-0.7300.9350.9690.8900.8960.969-0.749-0.7490.9630.5540.937-0.7300.963
low0.9440.9751.0000.9390.9140.939-0.8160.9180.9140.8800.8730.926-0.730-0.7300.9630.5710.913-0.8160.939
macd_70.9080.9630.9391.0000.9881.000-0.7820.9380.9210.7660.9540.982-0.794-0.7940.9640.4060.988-0.7821.000
macdhist_70.9320.9630.9140.9881.0000.988-0.7210.9380.9570.7840.9170.970-0.782-0.7820.9390.4420.963-0.7210.988
macdsignal_70.9080.9630.9391.0000.9881.000-0.7820.9380.9210.7660.9540.982-0.794-0.7940.9640.4060.988-0.7821.000
obv_7-0.648-0.730-0.816-0.782-0.721-0.7821.000-0.819-0.628-0.596-0.752-0.7130.5880.588-0.842-0.370-0.7551.000-0.782
open0.9010.9350.9180.9380.9380.938-0.8191.0000.9120.8620.9090.922-0.725-0.7250.9690.5750.918-0.8190.938
rsi_140.9880.9690.9140.9210.9570.921-0.6280.9121.0000.8960.8120.920-0.701-0.7010.9020.5980.877-0.6280.921
rsi_210.9230.8900.8800.7660.7840.766-0.5960.8620.8961.0000.7090.798-0.511-0.5110.8510.7960.738-0.5960.766
rsi_600.8040.8960.8730.9540.9170.954-0.7520.9090.8120.7091.0000.960-0.722-0.7220.9360.3730.985-0.7520.954
rsi_70.9130.9690.9260.9820.9700.982-0.7130.9220.9200.7980.9601.000-0.762-0.7620.9630.4020.982-0.7130.982
sma_14-0.698-0.749-0.730-0.794-0.782-0.7940.588-0.725-0.701-0.511-0.722-0.7621.0001.000-0.758-0.042-0.7550.588-0.794
sma_21-0.698-0.749-0.730-0.794-0.782-0.7940.588-0.725-0.701-0.511-0.722-0.7621.0001.000-0.758-0.042-0.7550.588-0.794
sma_600.9080.9630.9630.9640.9390.964-0.8420.9690.9020.8510.9360.963-0.758-0.7581.0000.4790.951-0.8420.964
sma_70.6360.5540.5710.4060.4420.406-0.3700.5750.5980.7960.3730.402-0.042-0.0420.4791.0000.387-0.3700.406
target0.8630.9370.9130.9880.9630.988-0.7550.9180.8770.7380.9850.982-0.755-0.7550.9510.3871.000-0.7550.988
volume-0.648-0.730-0.816-0.782-0.721-0.7821.000-0.819-0.628-0.596-0.752-0.7130.5880.588-0.842-0.370-0.7551.000-0.782
window_start_ms0.9080.9630.9391.0000.9881.000-0.7820.9380.9210.7660.9540.982-0.794-0.7940.9640.4060.988-0.7821.000

Missing values

2025-05-17T12:30:43.897113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-17T12:30:43.932250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

window_start_msopenhighlowclosetargetvolumesma_7sma_14sma_21sma_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7
1746613860000174661386000096880.1096880.1096880.0096880.1096883.200.0996894.1696907.3696912.3196931.730.482.7723.2149.80-11.43-8.86-2.580.09
1746613920000174661392000096880.0096880.1096880.0096880.1096903.900.1896888.3096904.4496910.3196931.710.482.778.0049.80-11.16-8.76-2.410.18
1746613980000174661398000096880.1096880.1096878.5096880.1096923.300.3896883.6096901.5996908.3196931.710.602.838.0050.02-10.57-8.55-2.020.38
1746614040000174661404000096880.1096880.1096880.0096880.0096939.700.0596880.1196898.7196906.3096931.880.812.597.9851.78-9.78-7.40-2.380.05
1746614100000174661410000096880.1096883.2096880.1096883.2096939.700.1296880.5496896.0696904.4596931.9389.479.2313.3550.53-8.58-6.65-1.930.12
1746614160000174661416000096883.1096883.2096883.1096883.2096939.700.0196880.9696893.4196902.4696931.9889.199.238.7150.53-7.48-5.85-1.630.01
1746614220000174661422000096883.2096903.9096883.2096903.9096947.000.0996884.3796892.1996901.6596932.3799.5936.9537.3053.98-4.10-5.121.020.09
1746614280000174661428000096903.9096923.4096903.9096923.3096981.700.0496890.5496892.3596901.7696933.0999.7751.3051.3356.820.52-4.525.040.04
1746614340000174661434000096923.4096939.8096923.3096939.7096999.900.0296899.0696893.6896902.6596934.0899.8359.1959.0758.945.46-3.619.070.02
1746614400000174661440000096939.8096939.8096939.7096939.7097000.000.0196907.5796895.5996903.5896935.0799.8364.3459.5958.948.52-2.6411.150.01
window_start_msopenhighlowclosetargetvolumesma_7sma_14sma_21sma_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7
1746613860000174661386000096880.1096880.1096880.0096880.1096883.200.0996894.1696907.3696912.3196931.730.482.7723.2149.80-11.43-8.86-2.580.09
1746613920000174661392000096880.0096880.1096880.0096880.1096903.900.1896888.3096904.4496910.3196931.710.482.778.0049.80-11.16-8.76-2.410.18
1746613980000174661398000096880.1096880.1096878.5096880.1096923.300.3896883.6096901.5996908.3196931.710.602.838.0050.02-10.57-8.55-2.020.38
1746614040000174661404000096880.1096880.1096880.0096880.0096939.700.0596880.1196898.7196906.3096931.880.812.597.9851.78-9.78-7.40-2.380.05
1746614100000174661410000096880.1096883.2096880.1096883.2096939.700.1296880.5496896.0696904.4596931.9389.479.2313.3550.53-8.58-6.65-1.930.12
1746614160000174661416000096883.1096883.2096883.1096883.2096939.700.0196880.9696893.4196902.4696931.9889.199.238.7150.53-7.48-5.85-1.630.01
1746614220000174661422000096883.2096903.9096883.2096903.9096947.000.0996884.3796892.1996901.6596932.3799.5936.9537.3053.98-4.10-5.121.020.09
1746614280000174661428000096903.9096923.4096903.9096923.3096981.700.0496890.5496892.3596901.7696933.0999.7751.3051.3356.820.52-4.525.040.04
1746614340000174661434000096923.4096939.8096923.3096939.7096999.900.0296899.0696893.6896902.6596934.0899.8359.1959.0758.945.46-3.619.070.02
1746614400000174661440000096939.8096939.8096939.7096939.7097000.000.0196907.5796895.5996903.5896935.0799.8364.3459.5958.948.52-2.6411.150.01